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Thanos followed with a step-by-step tutorial on how to use cytoclustR with SPADE in Cytobank to distinguish and report on hidden cell populations that might otherwise go unnoticed with manual gating strategies.

Learn from experts how machine learning tools present a more expansive view of your data and facilitate prognostic discovery.

Special guests Dr. Shahram Kordasti of King’s College London and Dr. Richard Ellisof the NIHR Biomedical Research Centre at Guy’s and St. Thomas’ NHS Foundation Trust and King’s College London show you how they leveraged Cytobank to identify predictors of therapy response.

We were fortunate to attend the American Society of Hematology meeting earlier this month in San Diego. It brought together leading clinical scientists to present and discuss advances in malignant and non-malignant hematology.

Every month, leading researchers investigate, discover, and publish new findings with the help of the Cytobank’s tools, platform, and community. Here are just a few papers of interest from the past few months: More »

Spitzer and Gherardini et al., from the Nolan Lab at Stanford University, report a novel bioinformatics approach to mapping the immune system called Scaffold (Single-Cell Analysis by Fixed Force- and Landmark-Directed).

Scaffold allows clustering of samples independently, thus allowing addition of new sample data over time. This approach requires users to develop or use a pre-defined reference map.

In their recent publication in Science, the authors reveal maps comparing immune organization among several tissue compartments, among mouse strains, between circadian states, and between species (mouse and human).More »

Zunder and Finck et al., from the Nolan Lab at Stanford University report new cell barcoding reagents for mass cytometry that incorporate the previously unused element palladium, expanding the number of mass cytometry measurement parameters by six. Leveraging this methodology, they present a new barcoding scheme which can be used to identify and remove cell doublets, as well as provide software that deconvolves barcoded datasets via a “single-cell debarcode” algorithm [1].

The datasetfor this paperis hosted and publicly available on Cytobank Community; a free resource for the analysis, workflow, and protocols represented in this paper. Cytobank is the cloud-based analytics platform for single cell analysis. In Cytobank you can easily access and analyze multi-parameter data, visualize findings, produce high-impact graphics, and securely connect and collaborate with colleagues around the world.